Used <a target="_blank" rel="ugc" href="https://civarchive.com/user/seruva19">https://civarchive.com/user/seruva19</a> 's Ghibli dataset. 120 images, batch size 4, 100 epochs, 3000 steps. Learning rate: 1e-5. 13 hours running on 2 x rtx 5000 ada gpus. I used diffusion-pipeline since it allows distributing loads across multiple gpu's.*Update V2.0 I doubled the lr rate to 2e-5 to make a more potent LORA.Image2Image guidance: If you want to do img2img, I recommend setting sampler = lcm and scheduler = linear_quadratic. The denoise will be between .3 - .4 and steps around 5-10. Will need to adjust on a case by case basis.

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